CVE-2026-100904 (GCVE-0-2026-100904)
Vulnerability from cvelistv5 – Published: 2026-09-28 03:30 – Updated: 2026-09-28 12:40
VLAI
EPSS
VEX
Title
amirsanni mini-inventory-and-sales-management-system Items Management Items.php cross site scripting
Summary
A security vulnerability has been detected in amirsanni mini-inventory-and-sales-management-system up to 81bf0b55f5933f3b0dbb1583204a612e06605b95. Impacted is an unknown function of the file application/controllers/Items.php of the component Items Management Module. The manipulation of the argument itemName leads to cross site scripting. Remote exploitation of the attack is possible. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided. The vendor was contacted early about this disclosure but did not respond in any way.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-28 12:38 UTC
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/410856 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/410856/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-100904 | third-party-advisory |
| https://vuldb.com/submit/918487 | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| amirsanni | mini-inventory-and-sales-management-system |
Affected:
81bf0b55f5933f3b0dbb1583204a612e06605b95
cpe:2.3:a:amirsanni:mini-inventory-and-sales-management-system:*:*:*:*:*:*:*:* |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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